Black-Box Behavioral Modeling of Voltage and Frequency Response Characteristic for Islanded Microgrid

Yong Shi, Dong Xu, Jianhui Su, Ning Liu, Hongru Yu and Huadian Xu
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Yong Shi: Anhui New Energy Utilization and Energy Saving Laboratory, School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China
Dong Xu: Anhui New Energy Utilization and Energy Saving Laboratory, School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China
Jianhui Su: Anhui New Energy Utilization and Energy Saving Laboratory, School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China
Ning Liu: Anhui New Energy Utilization and Energy Saving Laboratory, School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China
Hongru Yu: Anhui New Energy Utilization and Energy Saving Laboratory, School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China
Huadian Xu: Anhui New Energy Utilization and Energy Saving Laboratory, School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China

Energies, 2019, vol. 12, issue 11, 1-16

Abstract: The voltage and frequency response model of microgrid is significant for its application in the design of secondary voltage frequency controller and system stability analysis. However, most models developed for this aspect are complex in structure due to the difficult mechanism modeling process and are only suitable for offline identification. To solve these problems, this paper proposes a black-box modeling method to identify the voltage and frequency response model of microgrid online. Firstly, the microgrid system is set as a two-input, two-output black-box system and can be modeled only by data sampled at the input and output ports. Therefore, the simplicity of modeling steps can be guaranteed. Meanwhile, the recursive damped least squares method is used to realize the online model identification of the microgrid system, so that the model parameters can be adjusted with the change of the microgrid operating structure, which makes the model more adaptable. The paper analyzes the black-box modeling process of the microgrid system in detail, and the microgrid platform, including 100 kW rated power inverters, is employed to validate the analysis and experimental results.

Keywords: microgrid; recursive damped least squares; black-box modeling; online identification (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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